Unisys
Hyderabad, Telangana, India Posted 2d ago
Unisys is seeking an experienced Senior Data Engineer to design, build, and maintain scalable data platforms and data processing pipelines.
Key Responsibilities
Design, develop, and maintain large-scale data pipelines using Python and PySpark.
Build and optimize batch and near real-time data processing solutions.
Design scalable data architectures on AWS.
Develop ETL/ELT workflows for ingesting, transforming, and publishing datasets.
Work with structured and semi-structured data from multiple sources.
Design and maintain NoSQL database solutions using DynamoDB.
Implement search and analytics solutions using OpenSearch.
Optimize data processing jobs for performance, scalability, and cost efficiency.
Collaborate with product teams, architects, and software engineers to define data requirements.
Monitor, troubleshoot, and resolve data platform and pipeline issues.
Implement data quality, governance, security, and observability best practices.
Participate in code reviews and mentor junior engineers.
Requirements
Strong expertise in Python and PySpark.
Expert-level knowledge of AWS services such as EMR, Glue, Lambda, S3, Athena, Redshift.
Strong SQL skills and query optimization experience.
Experience with NoSQL databases, particularly DynamoDB.
Hands-on experience with OpenSearch / Elasticsearch.
Working knowledge of Java.
BA/BS degree and 8-10 years relevant experience OR equivalent combination of education and experience.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Experience with streaming platforms such as Kafka or Kinesis.
Experience with Airflow or other workflow orchestration tools.
Experience with Docker and Kubernetes.
Exposure to Data Lake and Lakehouse architecture.
